Once data is collected, it must be analyzed and interpreted to draw meaningful conclusions:
1. Descriptive Analysis: Summarizing data to describe the basic features of the study population. 2. Inferential Analysis: Using statistical methods to make inferences about the broader population based on sample data. 3. Correlation and Causation: Differentiating between associations and causal relationships through appropriate study designs and statistical techniques.
